This model is based on
distilbert-base-uncased
pretrained weights, with a classification head fine-tuned to classify news articles into 3 categories (bad, medium, good).
Training data
The dataset used to fine-tune the model is
news-small
, the 300 article news dataset manually annotated by Alex.
Inputs
Similar to its base model, this model accepts inputs with a maximum length of 512 tokens.
Runs of valurank distilbert-quality on huggingface.co
16
Total runs
0
24-hour runs
-2
3-day runs
-17
7-day runs
-9
30-day runs
More Information About distilbert-quality huggingface.co Model
distilbert-quality huggingface.co is an AI model on huggingface.co that provides distilbert-quality's model effect (), which can be used instantly with this valurank distilbert-quality model. huggingface.co supports a free trial of the distilbert-quality model, and also provides paid use of the distilbert-quality. Support call distilbert-quality model through api, including Node.js, Python, http.
distilbert-quality huggingface.co is an online trial and call api platform, which integrates distilbert-quality's modeling effects, including api services, and provides a free online trial of distilbert-quality, you can try distilbert-quality online for free by clicking the link below.
valurank distilbert-quality online free url in huggingface.co:
distilbert-quality is an open source model from GitHub that offers a free installation service, and any user can find distilbert-quality on GitHub to install. At the same time, huggingface.co provides the effect of distilbert-quality install, users can directly use distilbert-quality installed effect in huggingface.co for debugging and trial. It also supports api for free installation.